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    Wyświetlanie 1-2 z 2
    Tytuł:
    Model predictive direct power control of energy storage quasi-Z-source grid-connected inverter
    Autorzy:
    Tang, Min'an
    Yang, Shangmei
    Zhang, Kaiyue
    Wang, Qianqian
    Liu, Chenggang
    Dong, Xuewang
    Powiązania:
    https://bibliotekanauki.pl/articles/2042769.pdf
    Data publikacji:
    2022
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    quasi Z-Source
    inverter
    energy storage
    power control
    model predictive
    space vector
    Opis:
    In order to overcome the shortcoming of large switching losses caused by variable switching frequency appears in the conventional finite control set model predictive control (FCS-MPC) algorithm, a model predictive direct power control (MP-DPC) for an energy storage quasi-Z-source inverter (ES-qZSI) is proposed. Firstly, the power prediction model of the ES-qZSI is established based on the instantaneous power theory. Then the average voltage vector in the coordinate system is optimized by the power cost function. Finally, the average voltage vector is used as the modulation signal, and the corresponding switching signal with fixed frequency is generated by the shoot-through segment space vector pulse width modulation (SVPWM) technology. The simulation results show that the ES-qZSI realizes six shoot-through actions per control cycle and achieves the constant frequency control of the system, which verifies the correctness of the proposed control strategy.
    Źródło:
    Archives of Electrical Engineering; 2022, 71, 1; 21-35
    1427-4221
    2300-2506
    Pojawia się w:
    Archives of Electrical Engineering
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Fault location of distribution network with distributed generation based on Karrenbauer transform and support vector machine regression
    Autorzy:
    Wang, Siming
    Zhao, Kaikai
    Powiązania:
    https://bibliotekanauki.pl/articles/24202729.pdf
    Data publikacji:
    2023
    Wydawca:
    Polska Akademia Nauk. Czasopisma i Monografie PAN
    Tematy:
    distributed generation
    distribution network fault location
    fault type
    Karrenbauer transform
    agent prediction model
    SVR
    support vector regression
    Opis:
    As the capacity and scale of distribution networks continue to expand, and distributed generation technology is increasingly mature, the traditional fault location is no longer applicable to an active distribution network and "two-way" power flow structure. In this paper, a fault location method based on Karrenbauer transform and support vector machine regression (SVR) is proposed. Firstly, according to the influence of Karrenbauer transformation on phase angle difference before and after section fault in a low-voltage active distribution network, the fault regions and types are inferred preliminarily. Then, in the feature extraction stage, combined with the characteristics of distribution network fault mechanism, the fault feature sample set is established by using the phase angle difference of the Karrenbauer current. Finally, the fault category prediction model based on SVR was established to solve the problem of a single-phase mode transformation modulus and the indistinct identification of two-phase short circuits, then more accurate fault segments and categories were obtained. The proposed fault location method is simulated and verified by building a distribution network system model. The results show that compared with other methods in the field of fault detection, the fault location accuracy of the proposed method can reach 98.56%, which can enhance the robustness of rapid fault location.
    Źródło:
    Archives of Electrical Engineering; 2023, 72, 2; 461--481
    1427-4221
    2300-2506
    Pojawia się w:
    Archives of Electrical Engineering
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
      Wyświetlanie 1-2 z 2

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